Mind the Gap: Addressing "Missing Pieces" in Neuroscience Curricula to Reinforce Research Rigor
注意差距:解决神经科学课程中的“缺失部分”以加强研究严谨性
基本信息
- 批准号:10668514
- 负责人:
- 金额:$ 8.53万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:Active LearningAddressAreaAwarenessBasic ScienceBiologicalClinicalCodeCognitiveCommunitiesComprehensionDataData AnalysesDevelopmentDoctor of PhilosophyDocumentationEducationEducational CurriculumEducational process of instructingEducational workshopElementsEnsureExerciseExperimental DesignsFacultyFailureFosteringGlossaryHealthHumanInstructionInterviewKnowledgeLearningMathematicsMethodsMindMorphologic artifactsNamesNeurosciencesNeurosciences ResearchOutcomeOutputPostdoctoral FellowReadabilityReadingRecording of previous eventsReproducibilityResearchResearch PersonnelResearch Project GrantsResourcesSamplingScientistSourceStudentsSystemTeaching MaterialsTestingThinkingTimeTrainingTraining ProgramsUniversitiesVisualizationWritinganalysis pipelineanimationcombatcomputational neurosciencecomputerized data processingdesignexperimental analysisexperimental studygraduate studentimprovedinnovationinstructorpedagogical contentprogramssoundstudent participationtooltranslational pipelineundergraduate student
项目摘要
ABSTRACT
The PhD Program in Neuroscience at Harvard University has been a leader in the development of
innovative curricula for training in research rigor, beginning with the creation, in June 2011, of the
course "Quantitative Methods for Biologists," led by Drs. Michael Springer and Richard Born. Since this
time, we have continued to develop curricula in this area, including specific instruction in research rigor
and reproducibility from a statistical perspective in the course "Thinking about data," taught by Dr. Born.
We propose to extend and enhance these efforts by developing teaching materials that will address
"missing pieces" in neuroscience curricula to reinforce research rigor: 1) identifying and eliminating
sources of bias in experimental design and analysis, 2) distinguishing experimental failures from
biological answers; 3) investigating the details and assumptions of analyses and 4) making coded
analyses reproducible. Our pedagogical approach will emphasize active learning and embedding
concepts within a specific neuroscience context to enhance student engagement, learning, and
retention. All units will feature interviews with diverse scientists to highlight the importance of the topic
and tutorials of varying difficulty focused on specific neuroscience examples. These tutorials will consist
of short animated videos to introduce key ideas, interactive visualizations, discussion questions, real
data when appropriate, and optional coding exercises, and will be available in various levels of difficulty
and assumed expertise. All units will include a “learner resources page” with summary notes, a
glossary, and pointers to further resources on the topic, as well as an instructor resources page with
sample lesson plans, assessment question banks, and downloadable content.
摘要
哈佛大学的神经科学博士项目在发展
创新的研究严谨培训课程,从2011年6月创建
课程“生物学家的定量方法”,由迈克尔·斯普林格博士和理查德·伯恩博士领导。既然是这样
一段时间以来,我们继续开发这一领域的课程,包括在研究严谨性方面的具体指导
在伯恩博士讲授的“思考数据”课程中,从统计学的角度研究数据的可重复性。
我们建议通过开发教材来扩大和加强这些努力,
神经科学课程中加强研究严谨性的“遗漏片段”:1)识别和消除
实验设计和分析中的偏差来源,2)区分实验失败和
生物学答案;3)调查分析的细节和假设;4)进行编码
分析是可重复的。我们的教学方法将强调主动学习和嵌入
在特定神经科学背景下的概念,以提高学生的参与度、学习和
留存。所有单元都将与不同的科学家进行访谈,以突出这一主题的重要性
不同难度的教程集中在具体的神经科学例子上。这些教程将包括
介绍关键思想、交互式可视化、讨论问题的动画短片
适当时的数据和可选的编码练习,并将在不同的难度级别提供
并自认为有专业知识。所有单元都将包括一个带有总结笔记的“学习者资源页面”,
词汇表和指向该主题的更多资源的指针,以及讲师资源页面
样例课程计划、评估题库和可下载内容。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
RICHARD T BORN其他文献
RICHARD T BORN的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('RICHARD T BORN', 18)}}的其他基金
Mind the Gap: Addressing "Missing Pieces" in Neuroscience Curricula to Reinforce Research Rigor
注意差距:解决神经科学课程中的“缺失部分”以加强研究严谨性
- 批准号:
10513085 - 财政年份:2022
- 资助金额:
$ 8.53万 - 项目类别:
相似海外基金
Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
- 批准号:
MR/S03398X/2 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Fellowship
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
- 批准号:
EP/Y001486/1 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Research Grant
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
- 批准号:
2338423 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Continuing Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
- 批准号:
MR/X03657X/1 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
- 批准号:
2348066 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
- 批准号:
AH/Z505481/1 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10107647 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
EU-Funded
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
- 批准号:
2341402 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Standard Grant
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10106221 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
- 批准号:
AH/Z505341/1 - 财政年份:2024
- 资助金额:
$ 8.53万 - 项目类别:
Research Grant














{{item.name}}会员




